NVIDIA · 21 hours ago
Deep Learning Senior Engineer, End-To-End Autonomous Driving
United States
Full-time
Remote
Senior Level, Lead/Staff
$184K/yr - $288K/yr
8+ years expNVIDIA is seeking exceptional engineers to join their autonomous driving team to design, implement, and deploy cutting-edge end-to-end autonomous driving systems. The role involves improving planning and reasoning capabilities of driving systems through innovative large-scale models and collaborating with cross-functional teams to ensure performance and reliability standards are met.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Design and train innovative large-scale models—including generative, imitation, and reinforcement learning—to improve the planning and reasoning capabilities of our driving systems
Build, pre-train, and fine-tune LLM/VLM/VLA systems for deployment in real-world autonomous driving and robotics applications
Explore novel data generation and collection strategies to improve diversity and quality of training datasets
Collaborate with cross-functional teams to deploy AI models in production environments, ensuring performance, safety, and reliability standards are met
Integrate machine learning models directly with vehicle firmware to deliver production-quality, safety-critical software
Qualification
Required
Hands-on experience building LLMs, VLMs, or VLAs from scratch or a proven track record as a top-tier coder passionate about autonomous systems
Deep understanding of modern deep learning architectures and optimization techniques
Proven record of deploying production-grade ML models for self-driving, robotics, or related fields at scale
Strong programming skills in Python and proficiency with major deep learning frameworks
Familiarity with C++ for model deployment and integration in safety-critical systems
Master's degree or PhD (or equivalent experience)
8+ years of work experience in AV or related field
Preferred
Experience with LLM/VLM/VLA systems deployable to autonomous vehicles or general robotics
Publications, open-source contributions, or competition wins related to LLM/VLM/VLA systems
Deep understanding of behavior and motion planning in real-world AV applications
Experience building and training large-scale datasets and models
Proven ability to optimize algorithms for real-time performance in resource-constrained environments and strong track record of taking projects from concept to production deployment
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
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Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
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